Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach

Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach

In this paper, a novel polarimetric synthetic aperture radar (PolSAR) image classification method based on multilayer autoencoders and self-paced learning (SPL) is proposed. The multilayer autoencoders network is used to learn the features, which convert raw data into more abstract expressions. Then...

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Bibliographic Details
Main Authors: Wenshuai Chen, Shuiping Gou, Xinlin Wang, Xiaofeng Li, Licheng Jiao
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Remote Sensing
Subjects:
PolSAR
classification
multilayer autoencoders
self-paced learning
Online Access:http://www.mdpi.com/2072-4292/10/1/110

Internet

http://www.mdpi.com/2072-4292/10/1/110

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